DICE-E: A framework for conducting Darknet identification, collection, evaluation with ethics

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Society's growing dependence on computers and information technologies has been matched by an escalation of the frequency and sophistication of cyber attacks committed by criminals operating from the Darknet. As a result, security researchers have taken an interest in scrutinizing the Darknet and other underground web communities to develop a better understanding of cybercriminals and emerging threats. However, many scholars lack the capability or expertise to operationalize Darknet research and are thus unable to contribute to this increasingly impactful body of literature. This article introduces a framework for guiding such research, called Darknet Identification, Collection, Evaluation, with Ethics (DICE-E). The DICE-E framework provides a focused reference point and detailed guidelines for scholars wishing to become active in the Darknet research stream. Four steps to conducting Darknet forum research are outlined: (1) identification of Darknet data sources, (2) data collection strategies, (3) evaluation of Darknet data, and (4) ethical concerns related to Darknet research. To illustrate how DICE-E can be utilized, an example empirical study is reported. This exemplar illustrates how DICE-E can guide scholars through key decision points when attempting to incorporate the Darknet within their research.

Original languageEnglish (US)
Pages (from-to)1-22
Number of pages22
JournalMIS Quarterly: Management Information Systems
Volume43
Issue number1
DOIs
StatePublished - Mar 1 2019

Fingerprint

Information technology
Evaluation
Web community
Reference point
Sophistication
Empirical study
Data sources
Attack
Threat
Computer technology
Data collection
Expertise
Escalation

Keywords

  • Cybercriminal
  • Cybersecurity
  • Darknet
  • Deepnet
  • Ethics
  • Research framework

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Science Applications
  • Information Systems and Management

Cite this

@article{04d65f034d874952a82967e67190584b,
title = "DICE-E: A framework for conducting Darknet identification, collection, evaluation with ethics",
abstract = "Society's growing dependence on computers and information technologies has been matched by an escalation of the frequency and sophistication of cyber attacks committed by criminals operating from the Darknet. As a result, security researchers have taken an interest in scrutinizing the Darknet and other underground web communities to develop a better understanding of cybercriminals and emerging threats. However, many scholars lack the capability or expertise to operationalize Darknet research and are thus unable to contribute to this increasingly impactful body of literature. This article introduces a framework for guiding such research, called Darknet Identification, Collection, Evaluation, with Ethics (DICE-E). The DICE-E framework provides a focused reference point and detailed guidelines for scholars wishing to become active in the Darknet research stream. Four steps to conducting Darknet forum research are outlined: (1) identification of Darknet data sources, (2) data collection strategies, (3) evaluation of Darknet data, and (4) ethical concerns related to Darknet research. To illustrate how DICE-E can be utilized, an example empirical study is reported. This exemplar illustrates how DICE-E can guide scholars through key decision points when attempting to incorporate the Darknet within their research.",
keywords = "Cybercriminal, Cybersecurity, Darknet, Deepnet, Ethics, Research framework",
author = "Victor Benjamin and Valacich, {Joseph S} and Hsinchun Chen",
year = "2019",
month = "3",
day = "1",
doi = "10.25300/MISQ/2019/13808",
language = "English (US)",
volume = "43",
pages = "1--22",
journal = "MIS Quarterly: Management Information Systems",
issn = "0276-7783",
publisher = "Management Information Systems Research Center",
number = "1",

}

TY - JOUR

T1 - DICE-E

T2 - A framework for conducting Darknet identification, collection, evaluation with ethics

AU - Benjamin, Victor

AU - Valacich, Joseph S

AU - Chen, Hsinchun

PY - 2019/3/1

Y1 - 2019/3/1

N2 - Society's growing dependence on computers and information technologies has been matched by an escalation of the frequency and sophistication of cyber attacks committed by criminals operating from the Darknet. As a result, security researchers have taken an interest in scrutinizing the Darknet and other underground web communities to develop a better understanding of cybercriminals and emerging threats. However, many scholars lack the capability or expertise to operationalize Darknet research and are thus unable to contribute to this increasingly impactful body of literature. This article introduces a framework for guiding such research, called Darknet Identification, Collection, Evaluation, with Ethics (DICE-E). The DICE-E framework provides a focused reference point and detailed guidelines for scholars wishing to become active in the Darknet research stream. Four steps to conducting Darknet forum research are outlined: (1) identification of Darknet data sources, (2) data collection strategies, (3) evaluation of Darknet data, and (4) ethical concerns related to Darknet research. To illustrate how DICE-E can be utilized, an example empirical study is reported. This exemplar illustrates how DICE-E can guide scholars through key decision points when attempting to incorporate the Darknet within their research.

AB - Society's growing dependence on computers and information technologies has been matched by an escalation of the frequency and sophistication of cyber attacks committed by criminals operating from the Darknet. As a result, security researchers have taken an interest in scrutinizing the Darknet and other underground web communities to develop a better understanding of cybercriminals and emerging threats. However, many scholars lack the capability or expertise to operationalize Darknet research and are thus unable to contribute to this increasingly impactful body of literature. This article introduces a framework for guiding such research, called Darknet Identification, Collection, Evaluation, with Ethics (DICE-E). The DICE-E framework provides a focused reference point and detailed guidelines for scholars wishing to become active in the Darknet research stream. Four steps to conducting Darknet forum research are outlined: (1) identification of Darknet data sources, (2) data collection strategies, (3) evaluation of Darknet data, and (4) ethical concerns related to Darknet research. To illustrate how DICE-E can be utilized, an example empirical study is reported. This exemplar illustrates how DICE-E can guide scholars through key decision points when attempting to incorporate the Darknet within their research.

KW - Cybercriminal

KW - Cybersecurity

KW - Darknet

KW - Deepnet

KW - Ethics

KW - Research framework

UR - http://www.scopus.com/inward/record.url?scp=85067359365&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85067359365&partnerID=8YFLogxK

U2 - 10.25300/MISQ/2019/13808

DO - 10.25300/MISQ/2019/13808

M3 - Article

AN - SCOPUS:85067359365

VL - 43

SP - 1

EP - 22

JO - MIS Quarterly: Management Information Systems

JF - MIS Quarterly: Management Information Systems

SN - 0276-7783

IS - 1

ER -